Investigation of the Relationship Between Digital Game Addiction and Musculoskeletal System Disorders
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: ömer şevgin
- Phone Number: +905069787535
- Email: omer.sevgin@uskudar.edu.tr
Study Locations
-
-
-
Istanbul, Turkey (Türkiye)
- Uskudar University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Adults aged 18-39.
- Individuals who play digital games at least 4-5 days a week, at least 3 hours a day.
- Individuals who voluntarily participate in the study and sign the ethical consent form.
Exclusion Criteria:
- Individuals with existing serious health problems related to the musculoskeletal system or sleep patterns.
- Individuals who suffered trauma or serious injuries related to the musculoskeletal system during the study period.
- Individuals with psychological disorders such as depression or anxiety disorder.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: control
People who do not have any exercise program
|
will receive ergonomic training.
|
|
Experimental: exercise
People who will have an exercise program
|
will receive ergonomic training.
People who will receive an exercise program.
Participants will receive ergonomic training along with the exercise program.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Cornell Musculoskeletal Disorder Questionnaire
Time Frame: 14 weeks
|
The questionnaire was conducted in 11 body regions (neck, right and left shoulder, upper arm, forearm and wrist, back and waist region) includes questions about the frequency of musculoskeletal disorders (pain/pain/discomfort), the severity of these disorders, and whether they interfere with work.
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14 weeks
|
|
The Pittsburgh Sleep Quality Index
Time Frame: 14 weeks
|
Pittsburgh Sleep Quality Index; It evaluates sleep duration, sleep disturbance, sleep efficiency, subjective sleep quality, sleep medication use, daytime dysfunction, and sleep delay and consists of a total of 24 questions.
19 of them are self-report scales and 5 of them consist of questions to be answered by a friend or spouse.
There are 7 components with 18 questions scored in the scale, and each component is evaluated between 0 and 3 points.
The total score ranges from 0 to 21, and 5 or more is an indicator of "poor sleep quality".
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14 weeks
|
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Disabilities of the Arm, Shoulder and Hand Questionnaire
Time Frame: 14 weeks
|
It was developed to evaluate functional status and symptoms by focusing on physical function in upper extremity injuries.
According to the results of the survey; a result from 0-100 is obtained from each part; 0-no apology 100-maximum apology.
|
14 weeks
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: Lobaba Chiah, Uskudar University
Publications and helpful links
General Publications
- Ahmed S, Samuel AJ, Mishra A, Rahman MS, Islam MA, Rashaduzzaman M, Roy SK, Akter R, Islam MJ. Mobile game addiction and its association with musculoskeletal pain among students: A cross-sectional study. PLoS One. 2024 Aug 26;19(8):e0308674. doi: 10.1371/journal.pone.0308674. eCollection 2024.
- Brevers D, King DL, Billieux J. Delineating adaptive esports involvement from maladaptive gaming: a self-regulation perspective. Curr Opin Psychol. 2020 Dec;36:141-146. doi: 10.1016/j.copsyc.2020.07.025. Epub 2020 Aug 3.
- Gulu M, Yagin FH, Gocer I, Yapici H, Ayyildiz E, Clemente FM, Ardigo LP, Zadeh AK, Prieto-Gonzalez P, Nobari H. Exploring obesity, physical activity, and digital game addiction levels among adolescents: A study on machine learning-based prediction of digital game addiction. Front Psychol. 2023 Mar 3;14:1097145. doi: 10.3389/fpsyg.2023.1097145. eCollection 2023.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Uskudar22
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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